1 citations · 2 across the 4 of their papers we have counts for
4 papers
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
LiDAR odometry estimation and 3D semantic segmentation are crucial for autonomous driving, which has achieved remarkable advances recently. However, these tasks are challenging due…
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
Feed-forward only convolutional neural networks (CNNs) may ignore intrinsic relationships and potential benefits of feedback connections in vision tasks such as saliency detection,…
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks
Hiroki Miyamoto, Kazuki Uehara, Masahiro Murakawa +4
This paper presents an efficient object detection method from satellite imagery. Among a number of machine learning algorithms, we proposed a combination of two convolutional neura…
Object Detection of Satellite Images Using Multi-Channel Higher-order Local Autocorrelation
Kazuki Uehara, Hidenori Sakanashi, Hirokazu Nosato +3
The Earth observation satellites have been monitoring the earth's surface for a long time, and the images taken by the satellites contain large amounts of valuable data. However, i…